Senior Data Analyst
The University of Texas at AustinJob Posting Title:
Senior Data Analyst----
Hiring Department:
Dell Medical School----
Position Open To:
All Applicants----
Weekly Scheduled Hours:
40----
FLSA Status:
Exempt from FLSA----
Earliest Start Date:
Immediately----
Position Duration:
Expected to Continue----
Location:
UT MAIN CAMPUS----
Job Details:
Purpose:
Responsibilities:
Strategic Data Analysis and Modeling
Analyzes data using standard statistical tools, methods, and techniques; interprets results to identify significant differences and trends.
Leads the design and execution of advanced statistical models and predictive analytics.
Translates complex business problems into analytical frameworks.
Synthesizes, processes, and analyzes large datasets to uncover actionable insights.
Presents findings to senior leadership and governance committees.
Data Visualization
Develops and maintains dashboards and scorecards.
Standardizes KPIs and reporting methodologies across departments.
Automates enterprise-level reporting processes.
Ensures data visualizations are intuitive, accurate, and aligned with strategic goals.
Collaborates with IT to optimize reporting infrastructure.
Data Integration, Architecture and Standards
Develops and implements databases, data collection systems, and analytics strategies that optimize statistical efficiency and data quality.
Leads integration of disparate data sources including EHR, claims, financial, and operational systems.
Assists in defining, developing, and implementing data standards and data quality measures.
Conceptualizes, creates, and maintains operational and research data models for visualization and statistical analysis.
Establishes and maintains standard work procedures governing the appropriate use of data.
Stakeholder Leadership and Consultation
Serves as a trusted advisor to clinical and administrative leaders.
Consults with internal and external customers, including faculty and staff, to identify user needs and clarify data requirements.
Provides guidance and interpretation of complex systems and data.
Facilitates data strategy sessions and requirements gathering workshops.
Builds consensus around data definitions and usage.
Mentorship, Documentation, and Innovation
Mentors junior and mid-level analysts on technical and professional development.
Documents data analysis efforts, including data sources, reporting specifications, tools used, and issue resolutions.
Evaluates and pilots emerging analytics tools and methodologies.
Researches and stays up-to-date on new technologies and data analysis trends.
Leads analytics communities of practice and training sessions.
Contributes to scholarly activity
Marginal or Periodic Functions:
Participates in strategic planning and digital transformation initiatives.
Supports grant-funded research and academic collaborations.
Represents the organization at industry conferences and professional forums.
Leads post-implementation reviews of analytics projects.
Contributes to vendor evaluations and procurement of analytics tools.
Knowledge/Skills/Abilities
Strategic Agility
Aligns analytics with long-term organizational goals.
Anticipates data needs for emerging initiatives.
Advises leadership on strategic risks and opportunities.
Dealing with Ambiguity
Navigates unclear or evolving data requirements.
Makes sound decisions with incomplete information.
Adapts analysis to shifting priorities.
Influence
Builds consensus around data-driven decisions.
Communicates complex findings to diverse audiences.
Gains buy-in for analytics initiatives.
Technical Learning
Masters new analytics tools and platforms.
Applies advanced statistical and machine learning techniques.
Stays current with industry trends.
Innovation Management
Pilots new technologies for data processing, data generation (e.g. Synthetic), and analysis
Encourages experimentation and learning.
Identifies opportunities for automation and AI.
Collaboration
Leads cross-functional analytics teams.
Shares knowledge and builds analytics capacity.
Supports enterprise-wide data initiatives.
Minimum Qualifications:
Requires a Bachelor's Degree in Data Science, Public Health, Health Information Management, Statistics, Computer Science, or a related field with at least 5 year(s) of experience in healthcare analytics or data science.
Skilled in large scale data analysis, data processing and data technology
Skilled with one or more industry data models and standards (e.g. OMOP, FHIR, DICOM)
Experience with advanced analytics tools, data visualizations, and cloud data environments (e.g., Azure, Google AWS).
Relevant education may substitute for experience on a year-for-year basis.
Preferred Qualifications:
Master's Degree in a quantitative or healthcare-related field with at least 7 year(s) of experience in a complex healthcare environment. Cloud Data Analytics Certification or equivalent cloud-based certification (Azure, Google, AWS)
Salary Range
$90,000 + depending on qualifications
Working Conditions:
Standard office equipment
Repetitive use of a keyboard
May be exposed to such occupational hazards as communicable diseases, blood borne pathogens, ionizing and non-ionizing radiation, hazardous medications and disoriented or combative patients, or others.
Required Materials
Resume/CV
3 work references with their contact information; at least one reference should be from a supervisor
Letter of interest
Important for applicants who are NOT current university employees or contingent workers: You will be prompted to submit your resume the first time you apply, then you will be provided an option to upload a new Resume for subsequent applications. Any additional Required Materials (letter of interest, references, etc.) will be uploaded in the Application Questions section; you will be able to multi-select additional files. Before submitting your online job application, ensure that ALL Required Materials have been uploaded. Once your job application has been submitted, you cannot make changes.
Important for Current university employees and contingent workers: As a current university employee or contingent worker, you MUST apply within Workday by searching for Find UT Jobs. If you are a current University employee, log-in to Workday, navigate to your Worker Profile, click the Career link in the left hand navigation menu and then update the sections in your Professional Profile before you apply. This information will be pulled in to your application. The application is one page and you will be prompted to upload your resume. In addition, you must respond to the application questions presented to upload any additional Required Materials (letter of interest, references, etc.) that were noted above.
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Employment Eligibility:
Regular staff who have been employed in their current position for the last six continuous months are eligible for openings being recruited for through University-Wide or Open Recruiting, to include both promotional opportunities and lateral transfers. Staff who are promotion/transfer eligible may apply for positions without supervisor approval.----
Retirement Plan Eligibility:
The retirement plan for this position is Teacher Retirement System of Texas (TRS), subject to the position being at least 20 hours per week and at least 135 days in length.----
Background Checks:
A criminal history background check will be required for finalist(s) under consideration for this position.
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Equal Opportunity Employer:
The University of Texas at Austin, as an equal opportunity/affirmative action employer, complies with all applicable federal and state laws regarding nondiscrimination and affirmative action. The University is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race, color, national origin, age, marital status, sex, sexual orientation, gender identity, gender expression, disability, religion, or veteran status in employment, educational programs and activities, and admissions.
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Pay Transparency:
The University of Texas at Austin will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information.
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Employment Eligibility Verification:
If hired, you will be required to complete the federal Employment Eligibility Verification I-9 form. You will be required to present acceptable and original documents to prove your identity and authorization to work in the United States. Documents need to be presented no later than the third day of employment. Failure to do so will result in loss of employment at the university.
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E-Verify:
The University of Texas at Austin use E-Verify to check the work authorization of all new hires effective May 2015. The university’s company ID number for purposes of E-Verify is 854197. For more information about E-Verify, please see the following:
- E-Verify Poster (English and Spanish) [PDF]
- Right to Work Poster (English) [PDF]
- Right to Work Poster (Spanish) [PDF]
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Compliance:
Employees may be required to report violations of law under Title IX and the Jeanne Clery Disclosure of Campus Security Policy and Crime Statistics Act (Clery Act). If this position is identified a Campus Security Authority (Clery Act), you will be notified and provided resources for reporting. Responsible employees under Title IX are defined and outlined in HOP-3031.
The Clery Act requires all prospective employees be notified of the availability of the Annual Security and Fire Safety report. You may access the most recent report here or obtain a copy at University Compliance Services, 1616 Guadalupe Street, UTA 2.206, Austin, Texas 78701.